DSM, Dar es Salam, TZ
Actively hiring, first seen by us 1 day agoEmployment type in the employer’s posting: FULL_TIMEFrom the employer’s posting
Design and optimize personalized lifecycle campaigns for acquisition, retention, and upsell
Develop and deploy machine learning and AI solutions for revenue growth and retention
Build churn prediction and propensity models using causal inference
Develop big data monetization propositions and manage their end-to-end execution
Measure campaign effectiveness through experimentation and continuous optimization
Designing and optimizing personalized customer lifecycle campaigns, including acquisition, activation, retention, reactivation, cross-sell, and upsell initiatives.
Co-creating and deploying advanced machine learning and artificial intelligence solutions that drive revenue growth, cost optimization, customer retention, and enhanced customer experience.
Driving customer value enhancement through time to action, causal inference, difference in difference propensity modelling, churn prediction and customer journey optimization initiatives.
Developing big data monetization propositions and managing their end-to-end execution to unlock commercial value from customer data and behavioral insights.
Measuring and improving campaign effectiveness through Causal Inferences, advanced analytics, experimentation, and continuous optimization of customer engagement strategies.
We are a leading international Telco, serving millions of customers.
In the employer’s words · Read in context
Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 1
Early. Similar jobs usually come down between day 7 and day 56.
At Vodafone Group, jobs usually come down by about day 25.
From 10,204 similar postings that came down, and 134 of Vodafone Group’s. Coming down is not always a hire.
35 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
Join Us Role purpose: The Big Data & Special CVM Projects Specialist is responsible for leveraging advanced analytics, machine learning, and customer intelligence to drive sustainable customer and revenue growth across the M Pesa business. The role develops and operationalizes data-driven CVM strategies that improve customer acquisition, engagement, retention, product penetration, and customer lifetime value. The role is accountable for: • Co-creating and deploying advanced machine learning and artificial intelligence solutions that drive revenue growth, cost optimization, customer retention, and enhanced customer experience. • Developing big data monetization propositions and managing their end-to-end execution to unlock commercial value from customer data and behavioral insights. • Delivering actionable customer insights, predictive analytics, and segmentation strategies that support M-Pesa objectives, commercial targets, and business decision-making. • Designing and optimizing personalized customer lifecycle campaigns, including acquisition, activation, retention, reactivation, cross-sell, and upsell initiatives. • Driving customer value enhancement through time to action, causal inference, difference in difference propensity modelling, churn prediction and customer journey optimization initiatives. • Measuring and improving campaign effectiveness through Causal Inferences, advanced analytics, experimentation, and continuous optimization of customer engagement strategies. • Promoting effective data governance, data quality, and responsible use of customer information while ensuring compliance with regulatory and privacy requirements. Key accountabilities and decision ownership: • Causal Inference, Transformer Based Modelling, Classical ML Modelling its Lifecycle. • ETL, Feature Engineering Alternatives & Embedding Infrastructure - AI Product Lifecycle Strategy • Explainable AI (XAI) & Model Governance • E2E go to market execution for big data and special projects propositions. • Identify Analyze and Interpret trends or patterns in complex data sets. Core competencies, knowledge and experience: • Excellent analytical, logical and casual reasoning skills. • Strong stakeholder management skills • Ability to anticipate customer, competitor and market dynamics • Able to challenge the status quo Must have technical/professional qualifications: • Bachelor's Degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Engineering, Actuarial Science, Artificial Intelligence, or a related quantitative discipline. • Master's Degree in Data Science, Analytics, Artificial Intelligence, Business Analytics, or MBA (preferred). • Minimum 5–7 years' experience in Big Data Analytics, Data Science, Customer Analytics, CVM, Machine Learning, or Commercial Analytics. • Advanced proficiency in SQL and data querying tools. • Experience using Python, Spark, Databricks, or equivalent analytics tools. • Experience working with Big Data platforms, cloud analytics environments, and machine learning frameworks. • Strong understanding of Fintech ecosystems. • Experience developing and deploying predictive models in a production environment. Who we are
Complete your application on vodafone.eightfold.ai. The employer’s form will show what is required.
Already applied? Track this application
New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Role purpose:
The Big Data & Special CVM Projects Specialist is responsible for leveraging advanced analytics, machine learning, and customer intelligence to drive sustainable customer and revenue growth across the M Pesa business. The role develops and operationalizes data-driven CVM strategies that improve customer acquisition, engagement, retention, product penetration, and customer lifetime value.
The role is accountable for:
• Co-creating and deploying advanced machine learning and artificial intelligence solutions that drive revenue growth, cost optimization, customer retention, and enhanced customer experience.
• Developing big data monetization propositions and managing their end-to-end execution to unlock commercial value from customer data and behavioral insights.
• Delivering actionable customer insights, predictive analytics, and segmentation strategies that support M-Pesa objectives, commercial targets, and business decision-making.
• Designing and optimizing personalized customer lifecycle campaigns, including acquisition, activation, retention, reactivation, cross-sell, and upsell initiatives.
• Driving customer value enhancement through time to action, causal inference, difference in difference propensity modelling, churn prediction and customer journey optimization initiatives.
• Measuring and improving campaign effectiveness through Causal Inferences, advanced analytics, experimentation, and continuous optimization of customer engagement strategies.
• Promoting effective data governance, data quality, and responsible use of customer information while ensuring compliance with regulatory and privacy requirements.
Key accountabilities and decision ownership:
• Causal Inference, Transformer Based Modelling, Classical ML Modelling its Lifecycle.
• ETL, Feature Engineering Alternatives & Embedding Infrastructure - AI Product Lifecycle Strategy
• Explainable AI (XAI) & Model Governance
• E2E go to market execution for big data and special projects propositions.
• Identify Analyze and Interpret trends or patterns in complex data sets.
Core competencies, knowledge and experience:
• Excellent analytical, logical and casual reasoning skills.
• Strong stakeholder management skills
• Ability to anticipate customer, competitor and market dynamics
• Able to challenge the status quo
Must have technical/professional qualifications:
• Bachelor's Degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Engineering, Actuarial Science, Artificial Intelligence, or a related quantitative discipline.
• Master's Degree in Data Science, Analytics, Artificial Intelligence, Business Analytics, or MBA (preferred).
• Minimum 5–7 years' experience in Big Data Analytics, Data Science, Customer Analytics, CVM, Machine Learning, or Commercial Analytics.
• Advanced proficiency in SQL and data querying tools.
• Experience using Python, Spark, Databricks, or equivalent analytics tools.
• Experience working with Big Data platforms, cloud analytics environments, and machine learning frameworks.
• Strong understanding of Fintech ecosystems.
• Experience developing and deploying predictive models in a production environment.
We are a leading international Telco, serving millions of customers. At Vodafone, we believe that connectivity is a force for good. If we use it for the things that really matter, it can improve people's lives and the world around us. Through our technology we empower people, connecting everyone regardless of who they are or where they live and we protect the planet, whilst helping our customers do the same.
Belonging at Vodafone isn't a concept; it's lived, breathed, and cultivated through everything we do. You'll be part of a global and diverse community, with many different minds, abilities, backgrounds and cultures. ;We're committed to increase diversity, ensure equal representation, and make Vodafone a place everyone feels safe, valued and included.
If you require any reasonable adjustments or have an accessibility request as part of your recruitment journey, for example, extended time or breaks in between online assessments, please refer to https://careers.vodafone.com/application-adjustments/ for guidance.
Together we can.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
No pay amount identified in the saved description.
DSM, Dar es Salam, TZ
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.